We consider the joint sparse estimation of the regression coefficients and the covariance matrix for covariates in a high-dimensional regression model. Here, the predictors are both relevant to a ...

This paper provides an alternative approach to penalized regression for model selection in the context of high-dimensional linear regressions where the number of covariates is large, often much larger ...